How to analyze the user loyalty from the statistic data

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Statistical data analysis has always been the Webmaster special headache work, after all, who also do not like to a pile of cold figures have been looking, but do not carefully analyze the statistical data on the site details. For example, the number of old visitors every day, the site is a one-time visitors more than the old visitors and so on the site data. Therefore, even if the cold data, the webmaster also ready to face. Of course, through the analysis of statistical data can also find a site most important factor, that is the user experience degree. So what data do we need to analyze in terms of the user experience? Today I explain how to quickly get the site has a good user experience.

The ratio of old and new visitors is large

Perhaps the station every day to see their own statistics tool flow and PV value, but how many webmaster to analyze these two data? The simplest way to analyze user loyalty is the contrast between new and old users. The general statistical tools of the flow of IP will be divided into two parts, one is independent visitors (total visitors), the second is a new independent visitors, and for us to analyze the user experience, nature can be compared to the two data can be simply learned how many users are loyal users, as shown:

We can see from the above figure, the total visitor is 186, the new visitor is 126, then compared to two data can be learned that two visits to the user only poor 60 visitors, which means that the site's users are mostly one-time users. So, by comparing the data of the old and new visitors, we have a clear grasp of how many users have made two visits, and this is one way to judge the degree of user experience.

Second, the user's stay time is long

Look at the user experience degree, first need to check the user's stay time, just like their own to visit someone else's site, usually, if the site is interested in the longer stay, and if today has not found the content of the site, the natural future will return to the site. So for us to analyze the user experience, we can also use this method, through the analysis of their own statistical data in the user stay time, as shown in the figure:

From the picture can be seen, the site's user experience is good, after all, a user can stay on the site for more than a minute, for personal sites have been considered good. And this can let us know that users are interested in the site, nature as long as a little more detailed analysis, by updating the content users like can make two visits, and this is to improve the user experience the best embodiment. Therefore, the webmaster analysis of user experience when the first step needs to see the average time of the user, pay attention to the average stay time to more detailed access to the site users of detailed data, to determine whether the user experience is good to help.

Third, the user's retention is high

What is the best way to see the user experience degree? The answer is naturally the high and low, a site if there is a higher return rate, it shows that this site to a certain extent, the user is welcomed or said that the content of the site is very valuable to users. So for us to analyze the user experience degree, we may wish to look at the daily user's retention. Figure:

You can see from the diagram that the user experience of the site is not very good, after all, the first visit of the user is also a lot of new users, and two times, three times, four visits to the user or few, nature is not a lot of loyalty to the site, perhaps because the content of the site is not in line with the user's appetite, Make the user not interested in two visits. So, by looking at the number of people in the statistical data is the most direct way to see the user experience degree.

In the site optimization, in fact, most of the webmaster will not go to serious analysis of statistics, most of the webmaster would rather send a few posts, do a few more outside the chain is not willing to seriously view their statistics, in fact, this is not good to master the details of the site, for example, if not analysis of Even the site target user groups are not known where, how can the implementation of targeted promotion? So, even if the cold statistics, stationmaster also need to face bravely. This article by the Royal Mud Square flagship store www.ten222.com exclusive feeds, reprint please specify, thank you!